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» Sampling-Based Motion Planning Using Predictive Models
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ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
15 years 6 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...

Publication
412views
16 years 10 months ago
Analyzing Transit Service Reliability using Detailed Data From Automatic Vehicular Locator Systems
The widespread adoption of automated vehicle location systems (AVL) and automatic passenger counters (APC) in the transit industry has opened new venues in operations and system mo...
A. M. El-Geneidy, J. Horning, K. J. Krizek
117
Voted
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
14 years 11 months ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake
105
Voted
AIPS
2010
15 years 2 months ago
When Policies Can Be Trusted: Analyzing a Criteria to Identify Optimal Policies in MDPs with Unknown Model Parameters
Computing a good policy in stochastic uncertain environments with unknown dynamics and reward model parameters is a challenging task. In a number of domains, ranging from space ro...
Emma Brunskill
89
Voted
ATAL
2003
Springer
15 years 5 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver